Relationship Between Soil Factors, Quality and Yield Formation in <i>Coffea arabica</i>
Welcome to Chinese Journal of Tropical Crops,

Chinese Journal of Tropical Crops ›› 2020, Vol. 41 ›› Issue (6): 1065-1075.DOI: 10.3969/j.issn.1000-2561.2020.06.001

• Crop Culture and Nutrition, Genetic BreedingCrop Culture and Nutrition, Genetic Breeding •     Next Articles

Relationship Between Soil Factors, Quality and Yield Formation in Coffea arabica

ZHAO Mingzhu,GUO Tieying,MA Guanrun,XIAO Ziwei,BAI Xuehui,ZHOU Hua,SU Linlin()   

  1. Dehong Tropical Agriculture Research Institute of Yunnan, Ruili, Yunnan 678600, China
  • Received:2019-05-23 Revised:2019-08-09 Online:2020-06-25 Published:2020-07-30
  • Contact: SU Linlin


Soil factors play important roles in affecting the quality and yield of Coffea arabica. The purpose of the study was to provide an academic evidence for guiding the scientific fertilization, good quality and high yield, and identifying the primary indexes of quality, yield by investigation the variation of soil factors of C. arabica. The correlation, improved grey relational analysis, path analysis, and multiple linear regression analysis were conducted to identify the primary indexes of C. arabica quality and yield. The results showed that altitude was a key soil determinant of caffeine in C. arabica (-0.296 *), the prime determinant factors of total sugar content were soil organic matter (OM) (0.607**) and available phosphorus (AP) (0.232*), that for crude protein content were soil pH (-0.387**) and OM (0.227*), that for crude ash content was AP (0.334**), that for water-soluble extracts content was altitude (-0.494**), that for fat content was alkalystic nitrogen (AN) (-0.461**), and that for the yield of C. arabica were available potassium (AK) (0.339**) and OM (0.248*). The results would be useful to guiding the screening of soil conditions, reducing the amounts of fertilizer and increasing the fertilizer-use efficiency in order to enhance the suitability and purpose of the excellent germplasm in C. arabica.

Key words: soil factors, Coffea arabica, correlation analysis, improved grey relational analysis, path analysis, regression analysis, quality, yield

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